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Local Binary Patterns features using matlab 'extractLBPFeatures'



2019 Community Moderator ElectionHow to prepare colored images for neural networks?Data preprocessing: Should we normalise images pixel-wise?BOVW - Combine vocabulariesBag of Visual Wordswhy nobody uses matlabHigher dimension data visualization in Matlab/OctaveA noise robust Local binary patterns variantOpen image saved using python in matlabLocal Binary Patterns featuresLocal Binary features with unit16 images vs unit8 images










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$begingroup$


I am trying to understand the extractLBPFeatures function to extract the 59 uniform features, here is a simple code that extracts the 59 features from an image



img = imread('cameraman.tif');
LBP = extractLBPFeatures(img, 'Normalization' , 'none');


From what I understand according to LBP and Uniform LBP , the LBP is like histogram that counts the frequency of the pixels, but instead of intensity, the binary code of each centre pixel (converted into a new digit), so we would get bins from 0 to 59 with a number of occurrences of that each digit



Here are the LBP features, but shouldn't the numbers be real numbers since it is counting the frequency or occurrences of each pixel?
enter image description here










share|improve this question









$endgroup$
















    0












    $begingroup$


    I am trying to understand the extractLBPFeatures function to extract the 59 uniform features, here is a simple code that extracts the 59 features from an image



    img = imread('cameraman.tif');
    LBP = extractLBPFeatures(img, 'Normalization' , 'none');


    From what I understand according to LBP and Uniform LBP , the LBP is like histogram that counts the frequency of the pixels, but instead of intensity, the binary code of each centre pixel (converted into a new digit), so we would get bins from 0 to 59 with a number of occurrences of that each digit



    Here are the LBP features, but shouldn't the numbers be real numbers since it is counting the frequency or occurrences of each pixel?
    enter image description here










    share|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      I am trying to understand the extractLBPFeatures function to extract the 59 uniform features, here is a simple code that extracts the 59 features from an image



      img = imread('cameraman.tif');
      LBP = extractLBPFeatures(img, 'Normalization' , 'none');


      From what I understand according to LBP and Uniform LBP , the LBP is like histogram that counts the frequency of the pixels, but instead of intensity, the binary code of each centre pixel (converted into a new digit), so we would get bins from 0 to 59 with a number of occurrences of that each digit



      Here are the LBP features, but shouldn't the numbers be real numbers since it is counting the frequency or occurrences of each pixel?
      enter image description here










      share|improve this question









      $endgroup$




      I am trying to understand the extractLBPFeatures function to extract the 59 uniform features, here is a simple code that extracts the 59 features from an image



      img = imread('cameraman.tif');
      LBP = extractLBPFeatures(img, 'Normalization' , 'none');


      From what I understand according to LBP and Uniform LBP , the LBP is like histogram that counts the frequency of the pixels, but instead of intensity, the binary code of each centre pixel (converted into a new digit), so we would get bins from 0 to 59 with a number of occurrences of that each digit



      Here are the LBP features, but shouldn't the numbers be real numbers since it is counting the frequency or occurrences of each pixel?
      enter image description here







      image-classification feature-extraction matlab






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 27 at 12:20









      gingin

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      1778




















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